In this paper, a system based on support vector machines is proposed for content-based
dialect classification and retrieval. This work is part of an ongoing effort to address the needs …

Dialects may affect the voice recognition because they have an influence on the intonation
and the pronunciation of a syllable. Every dialect shows the characteristic of a particular tribe …

In this paper, an automatic dialect recognition system is proposed using feature-level fusion
of mel frequency cepstral coefficient (MFCC) and teager energy operator (TEO) based …

This paper explains classification using Support Vector Machines (SVM) technique and
clustering using K-means technique in identifying eight spoken dialects in Indonesian …

Dialect recognition of low resource languages is the next stage in the technological
advancement in speech recognition. Traditional methods for dialects recognition such as …

Automatic recognition systems are generally applied successfully in speech processing to
categorize observed utterances by the speaker identity, dialect and linguistic …

In this paper, word based dialect classification system is proposed by using acoustic
characteristics of the speech signal. Dialects mainly represent the different pronunciation …

Automatic Dialect Identification has attracted researchers in the field of speech signal
processing. Dialect can be defined as the language characteristics of a specific community …

This paper presents a novel Chinese dialect identification method to solve the poor decision
ability existed in most dialect identification system. The new method firstly uses Gaussian …

Automatic dialect Classification is very important for speech based human computer
interface and customer electronic products. Although many studies have been performed in …